Education

Ph.D. | 03/2021 ~ 

• Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea

• Major: Environmental Science and Engineering

• Advisor: Dr. Jungho Im

 B.S. | 03/2017 ~ 2021/02

• Dankook University, Cheonan, Republic of Korea

• Major: Mathematics

• Exchange Student, University of Texas at Arlington,  USA (GPA: 4.0/4.0) (Spring 2020)

• English Language Training Program, De La Salle University, Philippines (Autumn 2018)

Working experience

Research Intern | 07/2020 ~ 08/2020

• Korea Institute of Ocean Science and Technology (KIOST), Busan, Republic of Korea

Award

• Best presentation Award from the Geo AI Data Society (Nov. 2025)

• 2nd Prize in 2025 Artificial Intelligence Challengers Program Best Awards (Nov. 2025)

• Grand Award in Technology Contest for Solving Social Issues in the Asia-Pacific Region (Oct. 2025)

• Best presentation Award from the Korean Meteorological Society (Nov. 2023)

• Best presentation Award from the Korean Society for Atmospheric Environment (Oct. 2022)

Teaching Experience

• Teaching Assistant for Intro to Remote Sensing (Spring. 2023)

• Teaching Assistant for GIS-based modeling (Autumn. 2024)

Conference Presentations

• Eunjin Kang, Sihun Jung, Jungho Im, Hyunyoung Choi, Soomin Hwang, Cheolhee Yoo, Julian D. Marshall, Deoksu Kim, Jhoon Kim, Sang-Min Kim: “Geostationary satellite meets deep learning techniques: Hourly Pollution Monitoring and Public Co-Exposure Assessment.” Poster presentation at International Society for Environmental Epidemiology

• Eunjin Kang, Jungho Im, Jeong-ah Yoo, Byeong Gil Kim: "Geostationary satellite–based air pollution mapping using deep learning for co-exposure quantification." Poster presentation at 17th AOGEO Symposium

• Eunjin Kang, Sihun Jung, Jungho Im: "Improved Data fusion for estimating all-sky Multi-target air pollutants based on deep-learning approaches." Poster presentation at Asia Oceania Geosciences Society 2024

• Eunjin Kang, Seonyoung Park, Miae Kim, Cheolhee Yoo, Jungho Im: "Direct retrievals of aerosol optical depth using MODIS reflectance data and machine learning over East Asia." PICO presentation at European Geosciences Union 2023

• Eunjin Kang, Dongjin Cho, Siwoo Lee, Jungho Im: "Machine learning and GIS-based spatial analysis of cardiovascular disease in South Korea." Oral presentation at International Society for Environmental Epidemiology 2023

• Eunjin Kang, Seonyoung Park, Miae Kim, Cheolhee Yoo, Jungho Im: "Comparison of LightGBM-based AOD retrievals using various spatial resolution of MODIS products." Oral presentation at International Symposium on Remote Sensing 2022

Experience as a Reviewer